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Records |
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Author |
David Masip; Agata Lapedriza; Jordi Vitria |
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Title |
Measuring External Face Appearance for Face Classification. |
Type |
Book Chapter |
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Year |
2007 |
Publication |
Face Recognition, Ed. Kresimir Delac and Mislav Grgic, pp. 287–307, ISBN 978–3–902613–03–5, I–Tech Education and Publishing |
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Vienna (Austria) |
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OR;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ MLV2007b |
Serial |
940 |
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Permanent link to this record |
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Author |
David Masip; Jordi Vitria |
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Title |
Shared Feature Extraction for Nearest Neighbor Face Recognition |
Type |
Journal |
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Year |
2008 |
Publication |
IEEE Transactions on Neural Networks |
Abbreviated Journal |
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Volume |
19 |
Issue |
4 |
Pages |
586–595 |
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Notes |
OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ MaV2008 |
Serial |
944 |
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Permanent link to this record |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Title |
Learning to Learn: From Smarts Machines to Intelligent Machines |
Type |
Journal |
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Year |
2008 |
Publication |
Patter Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
29 |
Issue |
8 |
Pages |
1024–1032 |
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Notes |
OR;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ RaV2008a |
Serial |
950 |
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Permanent link to this record |
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Author |
Matthias S. Keil; Agata Lapedriza; David Masip; Jordi Vitria |
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Title |
Preferred Spatial Frequencies for Human Face Processing Are Associated with Optimal Class Discrimination in the Machine |
Type |
Journal |
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Year |
2008 |
Publication |
PLoS ONE 3(7):e2590, DOI:10.1371/journal.pone.0002590 |
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Notes |
OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ KLM2008 |
Serial |
978 |
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Permanent link to this record |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Detecting and Tracking of 3D Face Pose for Human-Robot Interaction |
Type |
Conference Article |
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Year |
2008 |
Publication |
IEEE International Conference on Robotics and Automation, |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
1716–1721 |
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Address |
Pasadena; CA; USA |
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Conference |
ICRA |
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Notes |
OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ DoR2008a |
Serial |
982 |
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Permanent link to this record |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Constructing Panoramic Views Through Facial Gaze Tracking |
Type |
Conference Article |
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Year |
2008 |
Publication |
IEEE International Conference on Multimedia and Expo, |
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Volume |
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Issue |
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Pages |
969–972 |
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Address |
Hannover (Germany) |
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ICME |
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Notes |
OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ DoR2008b |
Serial |
983 |
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Permanent link to this record |
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Author |
Agata Lapedriza; Santiago Segui; David Masip; Jordi Vitria |
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Title |
A Sparse Bayesian Approach for Joint Feature Selection and Classifier Learning |
Type |
Journal |
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Year |
2008 |
Publication |
Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications, |
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Volume |
11 |
Issue |
3-4 |
Pages |
299-308 |
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Publisher |
Springer |
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Notes |
OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ LSM2008 |
Serial |
996 |
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Permanent link to this record |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Title |
Online Nonparametric Discriminant Analysis for Incremental Subspace Learning and Recognition |
Type |
Journal |
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Year |
2008 |
Publication |
Pattern Analysis and Applications. Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications |
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Volume |
11 |
Issue |
3-4 |
Pages |
259–268 |
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Springer |
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Notes |
OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ RaV2008c |
Serial |
997 |
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Permanent link to this record |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Title |
Face Recognition by Artificial Vision Systems: A Cognitive Perspective |
Type |
Journal |
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Year |
2008 |
Publication |
International Journal of Pattern Recognition and Artificial Intelligence |
Abbreviated Journal |
IJPRAI |
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Volume |
22 |
Issue |
5 |
Pages |
899–913 |
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Notes |
OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ RaV2008b |
Serial |
1007 |
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Permanent link to this record |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Facial Expression Recognition for HCI Applications |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Encyclopedia of Artificial Intelligence |
Abbreviated Journal |
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Volume |
II |
Issue |
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Pages |
625–631 |
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Publisher |
IGI–Global Publisher |
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Editor |
Rabuñal |
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OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ DoR2008c |
Serial |
1034 |
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Permanent link to this record |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
3D Face Pose Detection and Tracking Using Monocular Videos: Tool and Application |
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Journal |
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Year |
2008 |
Publication |
IEEE Transactions on Systems, Man and Cybernetics (Part B) (IEEE) |
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OR;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ DoR2008d |
Serial |
1109 |
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Permanent link to this record |
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Author |
Bogdan Raducanu; Jordi Vitria; D. Gatica-Perez |
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Title |
You are Fired! Nonverbal Role Analysis in Competitive Meetings |
Type |
Conference Article |
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Year |
2009 |
Publication |
IEEE International Conference on Audio, Speech and Signal Processing |
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Pages |
1949–1952 |
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Abstract |
This paper addresses the problem of social interaction analysis in competitive meetings, using nonverbal cues. For our study, we made use of ldquoThe Apprenticerdquo reality TV show, which features a competition for a real, highly paid corporate job. Our analysis is centered around two tasks regarding a person's role in a meeting: predicting the person with the highest status and predicting the fired candidates. The current study was carried out using nonverbal audio cues. Results obtained from the analysis of a full season of the show, representing around 90 minutes of audio data, are very promising (up to 85.7% of accuracy in the first case and up to 92.8% in the second case). Our approach is based only on the nonverbal interaction dynamics during the meeting without relying on the spoken words. |
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Taipei, Taiwan |
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ISSN |
1520-6149 |
ISBN |
978-1-4244-2353-8 |
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Conference |
ICASSP |
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Notes |
OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ RVG2009 |
Serial |
1154 |
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Permanent link to this record |
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Author |
David Masip; Agata Lapedriza; Jordi Vitria |
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Title |
Boosted Online Learning for Face Recognition |
Type |
Journal Article |
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Year |
2009 |
Publication |
IEEE Transactions on Systems, Man and Cybernetics part B |
Abbreviated Journal |
TSMCB |
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Volume |
39 |
Issue |
2 |
Pages |
530–538 |
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Keywords |
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Abstract |
Face recognition applications commonly suffer from three main drawbacks: a reduced training set, information lying in high-dimensional subspaces, and the need to incorporate new people to recognize. In the recent literature, the extension of a face classifier in order to include new people in the model has been solved using online feature extraction techniques. The most successful approaches of those are the extensions of the principal component analysis or the linear discriminant analysis. In the current paper, a new online boosting algorithm is introduced: a face recognition method that extends a boosting-based classifier by adding new classes while avoiding the need of retraining the classifier each time a new person joins the system. The classifier is learned using the multitask learning principle where multiple verification tasks are trained together sharing the same feature space. The new classes are added taking advantage of the structure learned previously, being the addition of new classes not computationally demanding. The present proposal has been (experimentally) validated with two different facial data sets by comparing our approach with the current state-of-the-art techniques. The results show that the proposed online boosting algorithm fares better in terms of final accuracy. In addition, the global performance does not decrease drastically even when the number of classes of the base problem is multiplied by eight. |
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Edition |
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ISSN |
1083–4419 |
ISBN |
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Notes |
OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ MLV2009 |
Serial |
1155 |
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Permanent link to this record |
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Author |
D. Jayagopi; Bogdan Raducanu; D. Gatica-Perez |
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Title |
Characterizing conversational group dynamics using nonverbal behaviour |
Type |
Conference Article |
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Year |
2009 |
Publication |
10th IEEE International Conference on Multimedia and Expo |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
370–373 |
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Keywords |
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Abstract |
This paper addresses the novel problem of characterizing conversational group dynamics. It is well documented in social psychology that depending on the objectives a group, the dynamics are different. For example, a competitive meeting has a different objective from that of a collaborative meeting. We propose a method to characterize group dynamics based on the joint description of a group members' aggregated acoustical nonverbal behaviour to classify two meeting datasets (one being cooperative-type and the other being competitive-type). We use 4.5 hours of real behavioural multi-party data and show that our methodology can achieve a classification rate of upto 100%. |
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Address |
New York, USA |
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Edition |
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ISSN |
1945-7871 |
ISBN |
978-1-4244-4290-4 |
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Expedition |
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Conference |
ICME |
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Notes |
OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ JRG2009 |
Serial |
1217 |
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Permanent link to this record |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application |
Type |
Journal Article |
|
Year |
2009 |
Publication |
IEEE Transactions on Systems, Man and Cybernetics part B |
Abbreviated Journal |
TSMCB |
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Volume |
39 |
Issue |
4 |
Pages |
935–944 |
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Keywords |
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Abstract |
Recently, we have proposed a real-time tracker that simultaneously tracks the 3-D head pose and facial actions in monocular video sequences that can be provided by low quality cameras. This paper has two main contributions. First, we propose an automatic 3-D face pose initialization scheme for the real-time tracker by adopting a 2-D face detector and an eigenface system. Second, we use the proposed methods-the initialization and tracking-for enhancing the human-machine interaction functionality of an AIBO robot. More precisely, we show how the orientation of the robot's camera (or any active vision system) can be controlled through the estimation of the user's head pose. Applications based on head-pose imitation such as telepresence, virtual reality, and video games can directly exploit the proposed techniques. Experiments on real videos confirm the robustness and usefulness of the proposed methods. |
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OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ DoR2009a |
Serial |
1218 |
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Permanent link to this record |